CN117522192A - Method and system for supporting intelligent map of urban physical examination and forming report - Google Patents
Method and system for supporting intelligent map of urban physical examination and forming report Download PDFInfo
- Publication number
- CN117522192A CN117522192A CN202311397025.5A CN202311397025A CN117522192A CN 117522192 A CN117522192 A CN 117522192A CN 202311397025 A CN202311397025 A CN 202311397025A CN 117522192 A CN117522192 A CN 117522192A
- Authority
- CN
- China
- Prior art keywords
- target index
- analysis
- physical examination
- index
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000004458 analytical method Methods 0.000 claims abstract description 175
- 238000011156 evaluation Methods 0.000 claims abstract description 78
- 238000007781 pre-processing Methods 0.000 claims abstract description 13
- 238000003745 diagnosis Methods 0.000 claims description 20
- 238000004422 calculation algorithm Methods 0.000 claims description 14
- 238000004140 cleaning Methods 0.000 claims description 11
- 238000003860 storage Methods 0.000 claims description 10
- 238000013507 mapping Methods 0.000 claims description 9
- 238000012732 spatial analysis Methods 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 3
- 238000011160 research Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 description 10
- 230000015572 biosynthetic process Effects 0.000 description 9
- 238000007689 inspection Methods 0.000 description 8
- 238000000354 decomposition reaction Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000003086 colorant Substances 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000002906 medical waste Substances 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000004064 recycling Methods 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Databases & Information Systems (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The application discloses a method and a system for supporting intelligent map of urban physical examination and forming reports, wherein the method comprises the following steps: acquiring a plurality of target index data based on an urban physical examination index system and preprocessing; analyzing the preprocessed target index data based on a preset index evaluation standard to obtain an evaluation result of each target index; analyzing the space data correspondingly acquired by the special target indexes based on the style library and the space analysis operation library, determining analysis elements, analysis element display styles, analysis element display sequences, study area range lines, map base images and map elements of the special target index analysis chart, and generating a configuration rule library of the special target index analysis chart; correspondingly generating a target index analysis chart according to a configuration rule base of the special target index analysis chart; and generating an urban physical examination report according to the evaluation results of the target indexes and the special target index analysis chart. The method and the device can generate the physical examination report which is rich in content and can truly reflect the urban problems.
Description
Technical Field
The application relates to the technical field of urban data analysis, in particular to a method and a system for supporting intelligent drawing and report forming of urban physical examination.
Background
The urban physical examination is a basic work for optimizing urban development targets, supplementing urban construction short plates and solving the problem of urban diseases by comprehensively evaluating urban development and construction conditions and pertinently making countermeasure measures. With the continuous perfection of the urban physical examination index system, the generation of the urban physical examination report through the urban physical examination work becomes an indispensable technical means for comprehensively planning, constructing and managing the city and promoting the high-quality development of the city.
In the prior art, the generated urban physical examination report mostly records the evaluation results of all target evaluation indexes in a text form, calculates and determines the severity and the treatment difficulty of urban problems based on all target index data,
the visibility of the target index recorded in the urban physical examination report is poor, the index calculation value is difficult to understand, a specific and easily understood index space analysis chart is lacking, the distribution condition, coverage condition and the like of index related elements cannot be represented from the viewpoint of geographic space, and the content is not enough.
In addition, in the prior art, in order to improve the accuracy of urban physical examination, a multidimensional index evaluation standard is constructed; for example: however, subjectivity based on index evaluation standards such as standard city indexes and international city indexes is large, and the actual status, policy guidance and future planning direction of the physical examination city cannot be comprehensively and truly reflected in the evaluation result of the physical examination of the city.
Disclosure of Invention
In order to generate a physical examination report which is rich in content and can truly reflect urban problems, the application provides a method and a system for supporting intelligent map formation and report formation of urban physical examination.
In a first aspect, the present application provides a method for supporting intelligent mapping and report formation for urban physical examination, including:
determining a plurality of target indexes based on an urban physical examination index system, respectively carrying out information acquisition on each target index, and correspondingly acquiring each target index data;
preprocessing the obtained target index data;
analyzing the preprocessed target index data based on a preset index evaluation standard to obtain an evaluation result of each target index; analyzing the preprocessed space data correspondingly acquired by the special target indexes based on the style library and the space analysis operation library, determining analysis elements, analysis element display styles, analysis element display sequences, study area range lines, map base graphs and map elements of the special target index analysis graphs, and generating a configuration rule library of the special target index analysis graphs by combining preset graph display rules; correspondingly generating a special target index analysis chart according to a configuration rule base of the special target index analysis chart; the style library is a symbol library which accords with the drawing standard of the national standard; the space analysis operation library is a geospatial analysis algorithm library; the special target index refers to the target index that the acquired target index data comprises space data and non-space data;
and generating an urban physical examination report according to the evaluation results of the target indexes and the special target index analysis chart.
By adopting the scheme, the configuration rule base of the special target index analysis chart is scientifically and effectively obtained by using the style base and the space analysis operation database, the special target index analysis chart meeting the drawing standard can be efficiently and rapidly generated according to the configuration rule base of the special target index analysis chart, the space distribution condition and the coverage condition of related elements of indexes are represented, the content of the generated urban physical examination report is enriched, and the urban current situation is truly reflected.
Preferably, preprocessing the obtained target index data includes:
performing data cleaning on the acquired target index data, including non-spatial data cleaning and spatial data cleaning;
checking the cleaned target index data before warehousing; storing each target index data checked before warehousing into a preset urban physical examination index database; and warehousing and checking the target index data stored in the urban physical examination index database.
By adopting the scheme, the accuracy of the target index data is improved by cleaning the target data, and the data is checked for multiple times before and after being put in storage so as to ensure the authenticity of the urban physical examination report generated by the target index data processing subsequently.
Preferably, analyzing each target index data after the pretreatment based on the preset index evaluation criteria includes:
the preset index evaluation standard comprises standard specifications, and the standard specifications comprise standard specification values of all target indexes;
calculating a difference value between each preprocessed target index data and the standard specification value, and matching an index evaluation grade of the target index according to a difference range of the difference value; the gap range includes (- ≡50% ], (-50%, -20%) and [ -20%, 0%) and [0%, +of the standard specification; the index evaluation level includes a first level, a second level, a third level, and a fourth level.
By adopting the scheme, the fairness of index evaluation is guaranteed by taking the standard specification as the evaluation standard of the preset index, the subjective evaluation standard is prevented from influencing the index evaluation grade, and the actual situation of the physical examination city is truly realized.
Preferably, the method for generating the configuration rule base of the special target index analysis chart includes the steps of:
acquiring configuration rules of each special target index analysis chart, and merging to generate a configuration rule base of the special target index analysis chart; the configuration rule for obtaining each special target index analysis chart comprises the following steps:
determining a display style of the preprocessed space data, which is correspondingly acquired by each special target index, based on the style library; the display style of the spatial data includes: the icon, color and size of the dot element in the space data, the texture, color and thickness of the line element in the space data, and the texture, color and transparency of the plane element in the space data;
analyzing the preprocessed space data correspondingly acquired by each special target index based on the space analysis operation library, and determining analysis elements, analysis element display sequences, study area range lines, map base diagrams and map elements of each special target index analysis diagram; the spatial analysis operation library is a geospatial analysis algorithm library and comprises a plurality of geospatial analysis algorithms, and specifically comprises buffer analysis, extraction analysis and superposition analysis;
determining the display style of the analysis elements of each special target index analysis chart according to the display style of the preprocessed space data correspondingly acquired by each special target index;
setting a map display rule, wherein the map display rule is a map displayed according to a map base map, map elements, a study area range line and analysis elements in sequence;
and forming the configuration rule of each special target index analysis chart according to the analysis elements, the display sequence and display style of the analysis elements, the study area range line, the map base chart, the map elements and the chart display rule of each special target index analysis chart.
By adopting the scheme, the geospatial analysis algorithm library is utilized to meet the geospatial analysis requirements of various target indexes; and the style library is utilized to meet the requirement that the index analysis chart of the urban physical examination complies with the related chart specification and the urban physical examination work requirement, so that the effectiveness and standardization of the configuration rule of the finally generated target index analysis chart are improved.
Preferably, generating the city physical examination report according to the evaluation result of each target index and the special target index analysis chart includes: constructing an urban physical examination report template library; each city physical examination report template in the city physical examination report template library comprises a target index content template, and the combination sequence of the target index content templates in each city physical examination report template is different;
each target index content template comprises a special target index content template and a general target index content template; the general target index refers to a target index that the acquired target index data only comprises non-spatial data; the special target index content template is provided with target index evaluation result template information and special target index analysis chart template information; the general target index content template is provided with target index evaluation result template information;
selecting a specific city physical examination report template from the city physical examination report template library according to the requirement, and analyzing the information of the specific city physical examination report template; and filling the specific urban physical examination report template according to the evaluation result of the acquired target index corresponding to the template information and the special target index analysis chart, and generating an urban physical examination report.
By adopting the scheme, the city physical examination report template library can be used for selecting different combined target index content templates, and the city physical examination reports with different target index sequences are generated by extracting image-text information according to the template content, so that the requirements of various cities with different emphasis target indexes on the city physical examination reports are met.
Preferably, the method further comprises:
analyzing the evaluation results of all target indexes according to preset diagnosis rules to obtain urban physical examination results; the city physical examination result comprises a slight city problem, a medium city problem and a serious city problem;
and generating a city physical examination report according to the city physical examination result, the evaluation result of each target index and the special target index analysis chart.
By adopting the scheme, the urban physical examination result is specifically judged based on the preset diagnosis rule, so that the generated urban physical examination report is more visual.
Preferably, the preset diagnostic rule is:
setting corresponding diagnosis scores for all index evaluation grades of each target index respectively;
obtaining diagnostic scores corresponding to the actual index evaluation grades of all the target indexes, and calculating total diagnostic scores corresponding to all the target indexes; judging a diagnosis score area where the total diagnosis score is located, and matching the corresponding urban physical examination result; different diagnosis score areas correspondingly match different urban physical examination results.
By adopting the scheme, the evaluation grade of each target index is synthesized to set the diagnosis score, and the final urban physical examination result is intuitively and comprehensively judged by using the total diagnosis score.
In a second aspect, the present application provides a system for supporting intelligent mapping and reporting of urban physical examination, comprising:
the urban physical examination target index data acquisition module is used for determining a plurality of target indexes based on an urban physical examination index system, respectively acquiring information of each target index and correspondingly acquiring each target index data;
the urban physical examination target index data preprocessing module is used for preprocessing the acquired target index data;
the urban physical examination target index evaluation result acquisition module is used for analyzing the preprocessed target index data based on a preset index evaluation standard to obtain an evaluation result of each target index;
the urban physical examination target index analysis chart acquisition module is used for analyzing the preprocessed space data correspondingly acquired by the special target indexes based on the style library and the space analysis operation library, determining analysis elements, analysis element display styles, analysis element display sequences, research area range lines, map base charts and map elements of the special target index analysis chart, and generating a configuration rule library of the special target index analysis chart by combining preset chart display rules; correspondingly generating a special target index analysis chart according to a configuration rule base of the special target index analysis chart; the style library is a symbol library which accords with the drawing standard of the national standard; the space analysis operation library is a geospatial analysis algorithm library; the special target index refers to the target index that the acquired target index data comprises space data and non-space data;
and the urban physical examination report generating module is used for generating an urban physical examination report according to the evaluation results of the target indexes and the special target index analysis chart.
By adopting the scheme, the index evaluation grade, index evaluation content and other text forms of the index data are acquired by using the urban physical examination target index evaluation result acquisition module, and the index analysis chart is acquired by using the urban physical examination target index analysis chart acquisition module; and generating a comprehensive and real urban physical examination report based on the image-text form.
In a third aspect, the present application provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, where the computer program when executed controls a device in which the computer readable storage medium is located to perform a method as described above.
In a fourth aspect, the present application provides a computer device, a memory, a processor and a program stored and executable on said memory, said program implementing the steps of the method as described above when executed by the processor.
In summary, the application has the following beneficial effects:
1. analyzing the spatial data acquired by the special target indexes by using a style library and a spatial analysis operation library, scientifically and efficiently obtaining a target index analysis chart which accords with the national drawing specification, and generating an urban physical examination report which comprises index numerical calculation, index evaluation results and the index analysis chart and comprehensively and truly reflects urban problems;
2. and constructing an urban physical examination report template library, selecting templates in different target index combination forms meeting the requirements, and pertinently extracting index evaluation results and index analysis graphs to form corresponding urban physical examination report contents, so that the repeated workload is reduced, and the urban physical examination work is more efficient.
Drawings
FIG. 1 is a flow chart of a method for supporting smart graphs and report formation for urban physical examination in an embodiment;
FIG. 2 is a flowchart of a method for preprocessing target index data in a method for supporting intelligent graphs and report formation for urban physical examination according to an embodiment;
FIG. 3 is a flowchart of a configuration rule base for generating a special target index analysis chart in a method for supporting intelligent graphs and report formation of urban physical examination according to an embodiment;
fig. 4 is a schematic structural diagram of a system for supporting intelligent map and report formation for urban physical examination according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
As shown in fig. 1, an embodiment of the present application discloses a method for supporting intelligent map and report formation of urban physical examination, which specifically includes the steps of:
s1, determining a plurality of target indexes based on an urban physical examination index system, respectively carrying out information acquisition on each target index, and correspondingly acquiring each target index data.
The urban physical examination index system is mainly established from eight aspects of ecological livability, health and comfort, safety and toughness, convenient transportation, feature of the style, neatness and order, multiple inclusion, innovation activity and the like.
The ecological livability aspect mainly comprises: regional development intensity (ratio of urban district built-up area to urban district area), urban population density (unit: ten thousands per square kilometer), urban green road density (unit:%), days of air quality (unit: days), and the like; the health and comfort aspects mainly comprise: the community convenience service facilities need to cover the rate (unit:%), the land area occupied by old communities (unit:%), the area occupied by people-average stadium (unit: square meters/person), and the land area occupied by high-rise high-density residences (unit:%); the safety toughness aspect mainly comprises: the density of waterlogging points in the built-up area of the city (unit: individual/square kilometer), the death rate of the city (unit: person/vehicle), the refuge site of people (unit: square meter/person), the treatment capacity of the city medical waste (unit: percent) and the like; the traffic convenience aspect mainly comprises: urban road network density (unit: kilometers per square kilometer), average one-way commute time (unit: minutes) of urban resident population, ratio of parking berth of living area to car possession (unit:%), ratio of green bus (unit:%), and the like;
the aspect of the feature mainly comprises: the city historical culture neighborhood keeps the integrity rate (unit:%), the industrial rapid production utilization rate (unit:%), the average density of city historical buildings (unit: individual/square kilometer) and the like; the clean and orderly aspects mainly comprise: urban domestic garbage recycling rate (unit:%), urban domestic sewage centralized collection, clean energy heat supply rate (unit:%), and the like; the multi-element containing aspect mainly comprises: basic public service coverage rate (unit:%), public space barrier-free facility coverage rate (unit:%), urban resident minimum life guarantee standard accounting for the annual urban resident average consumption expenditure rate (unit:%), and the like;
the innovation vitality aspect mainly comprises: the population proportion of urban resident population household (unit:%), the population proportion of universities in new employment population of 47 towns (college and universities) at cultural level (unit:%), the proportion of R & D expenditure of the whole society to GDP (unit:%) and the like.
Specifically, a plurality of target index names are determined according to the urban physical examination index system, corresponding target index information is respectively acquired according to the plurality of target index names, and a plurality of target index data are acquired; the target index data acquired by the special target index (such as urban green track density) comprises two types, wherein the first type is non-space data, and the method specifically comprises the following steps: index unit, index definition, index calculation data, index calculation formula, index reference standard, index result grade judgment section, index calculation data decomposition item name, index calculation data decomposition item unit, etc.; wherein the index reference standard source is official standard such as policy file, government department standard and the like; the second category is spatial data, mainly spatial vector data (.shp file), comprising: the method comprises the following steps of spatial data information of indexes, index sub-item spatial data information and index spatial analysis; there are also general target indexes that the acquired target index data (e.g., days of good weather quality) include only one type of non-spatial data.
S2, preprocessing the obtained target index data.
As shown in fig. 2, the specific steps of the pretreatment include:
s21, data cleaning is carried out on the obtained target index data.
Specifically, the method comprises non-space data cleaning and space data cleaning. Wherein the non-spatial data cleansing comprises: deleting repeated value operation, missing value processing (such as missing value compensation operation), data consistency processing (such as data format consistency conversion and data normalization processing), cleaning data sorting, abnormal data sorting and the like; spatial data cleansing includes: data correctness integrity checking, result data checking and accepting, warehouse entry organization management, metadata updating, data dictionary updating and the like.
S22, checking the cleaned target index data before warehousing.
Specifically, each target index data to be imported or entered is subjected to system pre-warehouse-in inspection, and the specific pre-warehouse-in inspection comprises data uniqueness inspection, data type inspection, data defect inspection and the like.
S23, storing all target index data checked before warehousing into a preset urban physical examination index database.
S24, checking after warehousing a plurality of target index data stored in the urban physical examination index database.
Specifically, the post-warehouse entry inspection includes byte-by-byte comparison inspection with the original data file, topology inspection of space vector data, and the like.
In addition, in order to ensure the reliability of the target index data stored in the urban physical examination index database, a plurality of target index data inspected after the completion of warehousing are inspected and re-inspected manually at regular intervals.
S3, analyzing the preprocessed target index data based on a preset index evaluation standard, and correspondingly obtaining an evaluation result of each target index.
Specifically, in this embodiment, the preset index rating standard is a standard specification, that is, the standard specification source of the index is an official standard such as a policy file, a local government agency standard, etc., and the standard specification includes standard specification values of all target indexes.
Respectively calculating difference values of the preprocessed target index data and the standard specification value, and determining a difference range according to the difference values;
according to the index evaluation grade of the target index matched in the gap range, the specific matching rule is as follows: when the difference value is in the first difference range, it is (-50% > -50% ] of standard value, the matching is the first grade, when the difference value is in the second difference range, it is (-50% > -20%) of standard value, the matching is the second grade, when the difference value is in the third difference range, it is (-20% >, 0%) of standard value, the matching is the third grade; when the gap value is within the fourth gap range, i.e., [0%, + -infinity ] for the standard specification value, and the fourth level.
Based on the obtained target index evaluation grades, the corresponding index names, index definitions, index reference standards (standard specification values), index calculation values (gap values), index evaluation grades and index evaluation contents (index calculation data decomposition item names and index calculation data decomposition item units) are combined to form an evaluation result of the target index, namely the evaluation result comprises the index names, the index definitions, the index reference standards, the index calculation values, the index evaluation grades and the index evaluation contents.
S4, analyzing the preprocessed space data correspondingly acquired by the special target indexes based on the style library and the space analysis operation library, and generating a configuration rule library of the special target index analysis chart; and correspondingly generating the special target index analysis chart according to the configuration rule base of the special target index analysis chart.
As shown in fig. 3, the specific steps for generating the special target index analysis chart include:
s41, determining the display style of the preprocessed space data, which is acquired by each special target index, based on the style library.
Specifically, based on a style library, determining a style of the display of the space data by combining geometrical attributes (points, lines and planes) and types (land types and facility types) of the space data correspondingly acquired by each specific target index; the style library is a symbol library which accords with the drawing standard of the national standard; the display style of the spatial data includes: the icon, color, size, etc. of the dot element of the spatial data, the texture, color, thickness, etc. of the line element of the spatial data, the texture, color, transparency, etc. of the face element of the spatial data.
For example: taking green road service radius coverage as an example, the green road service radius coverage is the percentage of the residence area covered by 1 km service radius on two sides of the green road in the built-up area of the urban district to the total residence area; the index sub-item space data correspondingly acquired are green road data in cities, residence land data covered by service radiuses of 1 km at two sides of the green road and total residence land data;
setting corresponding display modes according to textures, colors and transparency of the green road occupation surface in the urban map, and setting corresponding display modes according to textures, colors and transparency of the residence occupation surface covered by the service radius of 1 kilometer at two sides of the green road and the texture, colors and transparency of the total residence occupation surface.
S42, analyzing the preprocessed space data correspondingly acquired by each special target index based on the space analysis operation library, and determining analysis elements, element display sequence, study area range line, map base map and map elements of each special target index analysis map.
Specifically, the spatial analysis operation library is a geospatial analysis algorithm library, and comprises buffer analysis, extraction analysis, superposition analysis and the like; and selecting a specific space analysis algorithm based on the index space analysis detailed steps of each index to analyze the space data, and determining analysis elements, analysis element display sequence, study area range line, map base map and map elements of the specific target index analysis map.
For example: taking green road service radius coverage as an example, since the green road service radius coverage is a percentage of the total residential area covered by 1 km service radius on both sides of the green road in the built-up area of the urban district; namely, the index sub-item space data correspondingly acquired are green road data, living land data covered by 1 km service radius on two sides of the green road and total living land data; the index space analysis detailed step comprises a buffer area analysis algorithm, wherein the buffer area analysis algorithm is selected to analyze the acquired green track service radius coverage rate: generating a 1 km radius buffer zone of the green road, intersecting analysis of the buffer zone and the residence land, calculating the area of an intersecting analysis generating element, calculating the area of the residence land, and dividing the area of the intersecting analysis generating element by the area value of the residence land; analysis elements (residence land elements within the range of the study area, green road buffer area elements with 1 km radius, green road elements) of the green road service radius coverage rate analysis map are determined, and the analysis elements display sequence (residence land elements within the range of the study area-green road buffer area elements with 1 km radius-green road elements), map base map, map elements, study area range lines and the like are determined.
S43, determining the analysis element display style of each special target index analysis chart according to the display style of the preprocessed space data acquired by each special target index.
S44, setting a graph display rule.
Specifically, in this embodiment, the map display rule is a map in which map base map, map elements, study area range lines, and analysis elements are displayed sequentially.
S45, forming configuration rules of each special target index analysis chart according to the analysis elements, the analysis element display sequence and the analysis element display sequence of each special target index analysis chart, the study area range line, the map base chart, the map elements and the chart display rules.
In addition, the configuration rule of each special target index analysis chart also comprises a display style of a research area range line, a display style of a map base chart and a display style of map elements; the display style of the study area range line, the display style of the map base map and the display style of the map element are all determined based on a style library.
S46, generating a configuration rule base of the special target index analysis chart by integrating a plurality of configuration rules of the special target index analysis chart, and correspondingly generating the special target index analysis chart according to the configuration rule base of the special target index analysis chart.
S5, analyzing the evaluation results of the target indexes according to preset diagnosis rules to obtain city physical examination results.
Specifically, the preset diagnostic rule is:
setting corresponding diagnosis scores for all index evaluation grades of each target index respectively; for example: the corresponding diagnostic score for the first class is set to 10 points, the corresponding diagnostic score for the second class is set to 30 points, the corresponding diagnostic score for the third class is set to 50 points, and the corresponding diagnostic score for the fourth class is set to 60 points at the green track service radius coverage rate.
In addition, as the planning directions of different cities are different, if the planning direction of the city is an ecological livability city, the index related to ecological livability of the city is more focused, so that the diagnosis score and the setting corresponding to the target index are higher.
Obtaining diagnostic scores corresponding to the actual index evaluation grades of all the target indexes, and calculating total diagnostic scores corresponding to all the target indexes;
judging a diagnosis score area where the total diagnosis score is located, and matching the corresponding urban physical examination result; different diagnosis score areas correspondingly match different urban physical examination results.
Specifically, the city examination result in this embodiment includes a slight city problem, a medium city problem, and a serious city problem; when the diagnostic score region is the first score region [ a ] 2 ，a 3 ) The corresponding match is a slight city problem; when the diagnostic score region is the second score region [ a ] 1 ，a 2 ) The corresponding match is a medium city problem; when the diagnostic score region is the third score region [0, a 1 ) The corresponding match is a serious city problem; wherein a is 1 <a 2 <a 3 And a 1 、a 2 And a 3 All are normal numbers.
And S6, generating a city physical examination report according to the city physical examination result, the evaluation result of each target index and the special target index analysis chart.
Specifically, an urban physical examination report template library is constructed, each urban physical examination report template in the urban physical examination report template library comprises a target index content template and an urban physical examination result, and the combination sequence of the target index content templates in each urban physical examination report template is different.
Each target index content template comprises a special target index content template and a general target index content template; the general target index is a target index without spatial data; the special target index content template comprises target index evaluation result template information and target index analysis chart template information; the general target index content template includes target index evaluation result template information.
Selecting a specific city physical examination report template from the city physical examination report template library according to the user requirement, and analyzing the information of the specific city physical examination report template; and filling the evaluation results, the target index analysis graph and the city physical examination results corresponding to the template information into a specific city physical examination report template to generate a city physical examination report.
In addition, the city physical examination report template can be customized according to the user requirements, the customized city physical examination report template comprises target index content templates selected by the user, and the combination sequence of the selected target index content templates can be adjusted according to the user requirements.
As shown in fig. 4, an embodiment of the present application discloses a system for supporting intelligent map and report formation of urban physical examination, which specifically includes:
the city physical examination target index data acquisition module 101 is used for determining a plurality of target indexes based on a city physical examination index system, respectively acquiring information of each target index, and correspondingly acquiring each target index data;
the city physical examination target index data preprocessing module 102 is used for preprocessing each acquired target index data;
the urban physical examination target index evaluation result acquisition module 103 is used for analyzing each preprocessed target index data based on a preset index evaluation standard to obtain an evaluation result of each target index;
the urban physical examination target index analysis chart acquisition module 104 is configured to analyze the preprocessed spatial data acquired by the corresponding special target indexes based on the style library and the spatial analysis operation library, determine analysis elements, analysis element display styles, analysis element display sequences, study area range lines, map base charts and map elements of the special target index analysis chart, and generate a configuration rule library of the special target index analysis chart by combining preset chart display rules; correspondingly generating a special target index analysis chart according to a configuration rule base of the special target index analysis chart; the style library is a symbol library which accords with the drawing standard of the national standard; the space analysis operation library is a geospatial analysis algorithm library; the special target index refers to the target index that the acquired target index data comprises space data and non-space data;
the urban physical examination report generating module 105 is used for generating an urban physical examination report according to the urban physical examination result, the evaluation result of each target index and the special target index analysis chart;
further comprises:
and the city physical examination result generating module 106 is configured to analyze the evaluation results of the target indexes according to a preset diagnosis rule, and obtain a city physical examination result.
The embodiment of the application also discloses a computer readable storage medium.
Specifically, the computer readable storage medium stores a computer program capable of being loaded by a processor and executing the intelligent map supporting urban physical examination and report forming method as described above, the computer readable storage medium includes, for example: a usb disk, a removable hard disk, a read-only memory (ROM), a random-access memory (RAM), a magnetic disk, or an optical disk, etc.
The embodiment of the application also discloses a computer device.
In particular, the computer device comprises a memory and a processor, the memory storing a computer program capable of being loaded by the processor and executing the above-described smart map supporting urban physical examination and forming reporting methods.
Claims (10)
1. A method for supporting intelligent mapping and reporting of urban physical examination, comprising:
determining a plurality of target indexes based on an urban physical examination index system, respectively carrying out information acquisition on each target index, and correspondingly acquiring each target index data;
preprocessing the obtained target index data;
analyzing the preprocessed target index data based on a preset index evaluation standard to obtain an evaluation result of each target index; analyzing the preprocessed space data correspondingly acquired by the special target indexes based on the style library and the space analysis operation library, determining analysis elements, analysis element display styles, analysis element display sequences, study area range lines, map base graphs and map elements of the special target index analysis graphs, and generating a configuration rule library of the special target index analysis graphs by combining preset graph display rules; correspondingly generating a special target index analysis chart according to a configuration rule base of the special target index analysis chart; the style library is a symbol library which accords with the drawing standard of the national standard; the space analysis operation library is a geospatial analysis algorithm library; the special target index refers to the target index that the acquired target index data comprises space data and non-space data;
and generating an urban physical examination report according to the evaluation results of the target indexes and the special target index analysis chart.
2. The method for supporting intelligent mapping and reporting of urban physical examination according to claim 1, wherein preprocessing the acquired target index data comprises:
performing data cleaning on the acquired target index data, including non-spatial data cleaning and spatial data cleaning;
checking the cleaned target index data before warehousing; storing each target index data checked before warehousing into a preset urban physical examination index database; and warehousing and checking the target index data stored in the urban physical examination index database.
3. The method for supporting intelligent mapping and reporting of urban physical examination according to claim 1, wherein analyzing each of the preprocessed target index data based on a preset index evaluation criterion comprises:
the preset index evaluation standard comprises standard specifications, and the standard specifications comprise standard specification values of all target indexes;
calculating a difference value between each preprocessed target index data and the standard specification value, and matching an index evaluation grade of the target index according to a difference range of the difference value; the gap range includes (- ≡50% ], (-50%, -20%) and [ -20%, 0%) and [0%, +of the standard specification; the index evaluation level includes a first level, a second level, a third level, and a fourth level.
4. The method for supporting intelligent drawing and report forming for urban physical examination according to claim 1, wherein analyzing the preprocessed spatial data acquired corresponding to the plurality of special target indexes based on the style library and the spatial analysis operation library, determining analysis elements, analysis element display styles, analysis element display order, study area range, map base drawing and map elements of the plurality of special target index analysis drawings, and generating a configuration rule library of the special target index analysis drawings comprises:
acquiring configuration rules of each special target index analysis chart, and merging to generate a configuration rule base of the special target index analysis chart; the configuration rule for obtaining each special target index analysis chart comprises the following steps:
determining a display style of the preprocessed space data, which is correspondingly acquired by each special target index, based on the style library; the display style of the spatial data includes: the icon, color and size of the dot element in the space data, the texture, color and thickness of the line element in the space data, and the texture, color and transparency of the plane element in the space data;
analyzing the preprocessed space data correspondingly acquired by each special target index based on the space analysis operation library, and determining analysis elements, analysis element display sequences, study area range lines, map base diagrams and map elements of each special target index analysis diagram; the spatial analysis operation library is a geospatial analysis algorithm library and comprises a plurality of geospatial analysis algorithms, and specifically comprises buffer analysis, extraction analysis and superposition analysis;
determining the display style of the analysis elements of each special target index analysis chart according to the display style of the preprocessed space data correspondingly acquired by each special target index;
setting a map display rule, wherein the map display rule is a map displayed according to a map base map, map elements, a study area range line and analysis elements in sequence;
and forming the configuration rule of each special target index analysis chart according to the analysis elements, the display sequence and display style of the analysis elements, the study area range line, the map base chart, the map elements and the chart display rule of each special target index analysis chart.
5. The method for supporting intelligent mapping and reporting of urban physical examination according to claim 1, wherein generating the urban physical examination report according to the evaluation result of each target index and the special target index analysis map comprises:
constructing an urban physical examination report template library; each city physical examination report template in the city physical examination report template library comprises a target index content template, and the combination sequence of the target index content templates in each city physical examination report template is different;
each target index content template comprises a special target index content template and a general target index content template; the general target index refers to a target index that the acquired target index data only comprises non-spatial data; the special target index content template is provided with target index evaluation result template information and special target index analysis chart template information; the general target index content template is provided with target index evaluation result template information;
selecting a specific city physical examination report template from the city physical examination report template library according to the requirement, and analyzing the information of the specific city physical examination report template; and filling the specific urban physical examination report template according to the evaluation result of the acquired target index corresponding to the template information and the special target index analysis chart, and generating an urban physical examination report.
6. The method for supporting intelligent mapping and reporting of urban physical examination of claim 1, further comprising:
analyzing the evaluation results of all target indexes according to preset diagnosis rules to obtain urban physical examination results; the city physical examination result comprises a slight city problem, a medium city problem and a serious city problem;
and generating a city physical examination report according to the city physical examination result, the evaluation result of each target index and the special target index analysis chart.
7. The method for supporting intelligent mapping and reporting of urban physical examination according to claim 6, wherein the preset diagnostic rules are:
setting corresponding diagnosis scores for all index evaluation grades of each target index respectively;
obtaining diagnostic scores corresponding to the actual index evaluation grades of all the target indexes, and calculating total diagnostic scores corresponding to all the target indexes; judging a diagnosis score area where the total diagnosis score is located, and matching the corresponding urban physical examination result; different diagnosis score areas correspondingly match different urban physical examination results.
8. A system for supporting intelligent mapping and reporting of urban physical examination, comprising:
the urban physical examination target index data acquisition module is used for determining a plurality of target indexes based on an urban physical examination index system, respectively acquiring information of each target index and correspondingly acquiring each target index data;
the urban physical examination target index data preprocessing module is used for preprocessing the acquired target index data;
the urban physical examination target index evaluation result acquisition module is used for analyzing the preprocessed target index data based on a preset index evaluation standard to obtain an evaluation result of each target index;
the urban physical examination target index analysis chart acquisition module is used for analyzing the preprocessed space data correspondingly acquired by the special target indexes based on the style library and the space analysis operation library, determining analysis elements, analysis element display styles, analysis element display sequences, research area range lines, map base charts and map elements of the special target index analysis chart, and generating a configuration rule library of the special target index analysis chart by combining preset chart display rules; correspondingly generating a special target index analysis chart according to a configuration rule base of the special target index analysis chart; the style library is a symbol library which accords with the drawing standard of the national standard; the space analysis operation library is a geospatial analysis algorithm library; the special target index refers to the target index that the acquired target index data comprises space data and non-space data;
and the urban physical examination report generating module is used for generating an urban physical examination report according to the evaluation results of the target indexes and the special target index analysis chart.
9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the method according to any one of claims 1 to 7.
10. A computer device, characterized by a memory, a processor and a program stored and executable on said memory, which when executed by the processor realizes the steps of the method according to any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311397025.5A CN117522192B (en) | 2023-10-26 | 2023-10-26 | Method and system for supporting intelligent map of urban physical examination and forming report |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311397025.5A CN117522192B (en) | 2023-10-26 | 2023-10-26 | Method and system for supporting intelligent map of urban physical examination and forming report |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117522192A true CN117522192A (en) | 2024-02-06 |
| CN117522192B CN117522192B (en) | 2024-05-14 |
Family
ID=89750412
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311397025.5A Active CN117522192B (en) | 2023-10-26 | 2023-10-26 | Method and system for supporting intelligent map of urban physical examination and forming report |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117522192B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004062367A (en) * | 2002-07-26 | 2004-02-26 | Sabo Jisuberi Gijutsu Center | Mutual report system of sediment disaster information |
| CN114023415A (en) * | 2021-11-08 | 2022-02-08 | 深圳航天智慧城市系统技术研究院有限公司 | Dynamic document template generation method and system based on online editable customization |
| CN114282082A (en) * | 2021-12-27 | 2022-04-05 | 中国地质大学（武汉） | Index visualization method and system supporting urban physical examination |
| CN114399128A (en) * | 2021-11-03 | 2022-04-26 | 中国城市规划设计研究院 | Urban physical examination evaluation system and method based on sustainable development concept |
| CN116341967A (en) * | 2023-03-20 | 2023-06-27 | 南京市市政设计研究院有限责任公司 | Park green scheme evaluation and optimization method, device and equipment based on GIS model and storage medium |
-
2023
- 2023-10-26 CN CN202311397025.5A patent/CN117522192B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004062367A (en) * | 2002-07-26 | 2004-02-26 | Sabo Jisuberi Gijutsu Center | Mutual report system of sediment disaster information |
| CN114399128A (en) * | 2021-11-03 | 2022-04-26 | 中国城市规划设计研究院 | Urban physical examination evaluation system and method based on sustainable development concept |
| CN114023415A (en) * | 2021-11-08 | 2022-02-08 | 深圳航天智慧城市系统技术研究院有限公司 | Dynamic document template generation method and system based on online editable customization |
| CN114282082A (en) * | 2021-12-27 | 2022-04-05 | 中国地质大学（武汉） | Index visualization method and system supporting urban physical examination |
| CN116341967A (en) * | 2023-03-20 | 2023-06-27 | 南京市市政设计研究院有限责任公司 | Park green scheme evaluation and optimization method, device and equipment based on GIS model and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 孟庆伟;: "城市公共交通覆盖度空间统计分析研究", 测绘与空间地理信息, no. 03, 25 March 2020 (2020-03-25), pages 149 - 153 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117522192B (en) | 2024-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107239575B (en) | Urban road rainstorm waterlogging risk analysis and early warning intelligent networking service system and method | |
| McCrea et al. | What is the strength of the link between objective and subjective indicators of urban quality of life? | |
| Lovett et al. | Improving benefit transfer demand functions: a GIS approach | |
| Pitot et al. | Land Use and Public Transport Accessibility Index (LUPTAI) tool: the development and pilot application of LUPTAI for the Gold Coast | |
| KR101375441B1 (en) | Urban regeneration information system | |
| Miliotis et al. | A hierarchical location model for locating bank branches in a competitive environment | |
| CN106448132A (en) | Conventional public traffic service index real-time evaluation system and method | |
| CN112418690A (en) | Analysis and diagnosis method and system for urban physical examination indexes | |
| KR102538887B1 (en) | Forest Carbon Credit Trading System Based on Forest Management Automation System | |
| CN116384803A (en) | Urban data analysis method, system, electronic equipment and storage medium | |
| Schiller et al. | Urban infill development potential in Germany: comparing survey and GIS data. | |
| CN116050879A (en) | City updating method and system based on city physical examination evaluation | |
| CN115017244A (en) | Geographic information big data and population data fusion service community management method | |
| CN117522192B (en) | Method and system for supporting intelligent map of urban physical examination and forming report | |
| CN115456372B (en) | Construction method of rural low-efficiency construction land identification standard system | |
| Zhi et al. | Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques | |
| CN113487341B (en) | Urban business strategy data processing method | |
| Rolheiser et al. | Beyond density: municipal expenditures and the shape and location of development | |
| Santos et al. | A visual analytics system for profiling urban land use evolution | |
| Wang et al. | A SP survey-based method for evaluating environmental performance of urban commercial districts: A case study in Beijing | |
| BILAŞCO et al. | The evaluation of accessibility to hospital infrastructure at regional scale by using gis space analysis models: The North-West Region, Romania | |
| Eichhorn | Infilling in Germany. Estimating the extent of infilling in German municipalities between 1979 and 2011 | |
| Zhao et al. | Mapping urban land type with multi-source geospatial big data: a case study of Shenzhen, China | |
| CN116911055B (en) | Digital twinning-based intelligent city planning management system | |
| Saghapour | Accessible neighbourhoods: towards active transportation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |